!14263 tensorprint adapt to print scalar

From: @yepei6
Reviewed-by: @kingxian,@kisnwang
Signed-off-by: @kingxian

mindspore/train/serialization.py

@@ -830,13 +830,10 @@ def parse_print(print_file_name):
                 np_type = tensor_to_np_type[data_type]
                 param_data = np.fromstring(data, np_type)
                 ms_type = tensor_to_ms_type[data_type]
-                param_dim = []
-                for dim in dims:
-                    param_dim.append(dim)
-                if param_dim:
-                    param_value = param_data.reshape(param_dim)
+                if dims and dims != [0]:
+                    param_value = param_data.reshape(dims)
                     tensor_list.append(Tensor(param_value, ms_type))
-                # Scale type
+                # Scalar type
                 else:
                     data_type_ = data_type.lower()
                     if 'float' in data_type_: